Your browser doesn't support javascript.
loading
Unknown Metabolite Identification Using Machine Learning Collision Cross-Section Prediction and Tandem Mass Spectrometry.
Asef, Carter K; Rainey, Markace A; Garcia, Brianna M; Gouveia, Goncalo J; Shaver, Amanda O; Leach, Franklin E; Morse, Alison M; Edison, Arthur S; McIntyre, Lauren M; Fernández, Facundo M.
Affiliation
  • Asef CK; School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia30332, United States.
  • Rainey MA; School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia30332, United States.
  • Garcia BM; Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.
  • Gouveia GJ; Department of Chemistry, University of Georgia, Athens, Georgia30602, United States.
  • Shaver AO; Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.
  • Leach FE; Department of Biochemistry, University of Georgia, Athens, Georgia30602, United States.
  • Morse AM; Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.
  • Edison AS; Department of Genetics, University of Georgia, Athens, Georgia30602, United States.
  • McIntyre LM; Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.
  • Fernández FM; Department of Environment Health Science, University of Georgia, Athens, Georgia30602, United States.
Anal Chem ; 95(2): 1047-1056, 2023 01 17.
Article in En | MEDLINE | ID: mdl-36595469

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tandem Mass Spectrometry / Metabolomics Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Anal Chem Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tandem Mass Spectrometry / Metabolomics Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Anal Chem Year: 2023 Document type: Article Affiliation country: Country of publication: